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A comparison of power system signal detrending algorithms

机译:电力系统信号去趋势算法的比较

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Wide Area Measurement Systems (WAMS) have facilitated tracking of oscillations in power system response signals. This has provided an impetus for application of signal measurement-based modal detection methods such as matrix pencil and Prony analysis. Detrending, which means removal of trend in a signal, is a pre-requisite for effective functioning of these modal detection methods. In this work, performance of three methods of detrending viz., Center-of-Inertia (COI)-based detrending, MATLAB function-based detrending and `Zhou' detrending are compared with particular reference to power system signals. It is indicated that COI-based detrending is better suited to detection of modes from slip signals of generators.
机译:广域测量系统(WAMS)有助于跟踪电力系统响应信号中的振荡。这为基于信号测量的模态检测方法(如矩阵笔和Prony分析)的应用提供了动力。去趋势,这意味着消除信号中的趋势,是这些模式检测方法有效运行的先决条件。在这项工作中,对比了三种基于惯性中心(COI)的去趋势,基于MATLAB函数的去趋势和“周”去趋势的三种去趋势方法的性能,并特别参考了电力系统信号。已经表明,基于COI的去趋势更适合于从发电机的滑差信号中检测模式。

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